Hanlin Gu
Impact in
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Adversarial Robustness in Machine Learning
- Stochastic Gradient Optimization Techniques
- Internet Traffic Analysis and Secure E-voting
Papers in
-
- Privacy-Preserving Technologies in Data 10
- Stochastic Gradient Optimization Techniques 4
- Cryptography and Data Security 3
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- Recommender Systems and Techniques 3
- Co-authors
- Qiang Yang (9 shared papers)Lixin Fan (12 shared papers)Wei Wang (2 shared papers)Xuhui Huang (2 shared papers)Junhui Peng (1 shared paper)Jie Li (2 shared papers)Kai Chen (2 shared papers)Yan Kang (4 shared papers)
- Journals
- ACM Transactions on Intelligent Systems and Technology (3 papers)IEEE Transactions on Dependable and Secure Computing (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)ACM Transactions on Information Systems (1 paper)Physical Chemistry Chemical Physics (1 paper)
In The Last Decade
Hanlin Gu
13 papers receiving 166 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 107
- Computer Science Applications 7
- Information Systems 26
- Computer Vision and Pattern Recognition 19
- Health Informatics 1
Countries citing papers authored by Hanlin Gu
This map shows the geographic impact of Hanlin Gu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hanlin Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanlin Gu more than expected).
Fields of papers citing papers by Hanlin Gu
This network shows the impact of papers produced by Hanlin Gu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hanlin Gu. The network helps show where Hanlin Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hanlin Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 45 | |
| 2 | 2022 | 44 | |
| 3 | 2022 | 37 | |
| 4 | 2024 | 15 | |
| 5 | 2023 | 7 | |
| 6 | 2024 | 6 | |
| 7 | 2021 | 5 | |
| 8 | 2024 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 2025 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2024 | 0 |
About Hanlin Gu
Hanlin Gu is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Molecular Biology and Spectroscopy, having authored 18 papers that have together received 170 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (10 papers), Stochastic Gradient Optimization Techniques (4 papers), Cryptography and Data Security (3 papers), Recommender Systems and Techniques (3 papers), Enzyme Structure and Function (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Protein Structure and Dynamics (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Artificial Intelligence (107 citations), Computer Science Applications (7 citations), Information Systems (26 citations), Computer Vision and Pattern Recognition (19 citations) and Health Informatics (1 citation). Hanlin Gu has collaborated with scholars based in Hong Kong, China and Portugal. Frequent co-authors include Qiang Yang, Lixin Fan, Wei Wang, Xuhui Huang, Junhui Peng, Jie Li, Kai Chen, Yan Kang, Wenyuan Yang and Zhan Qin. Their work appears in journals such as ACM Transactions on Intelligent Systems and Technology, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Information Systems and Physical Chemistry Chemical Physics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.